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Projects source: E-CRIS

Functional analysis, stochastic analysis and applications

Research activity

Code Science Field
P000  Natural sciences and mathematics   
Keywords
Generalized inverses, spectra, matrix equations, summability, stochastic and differential equations
Organisations (6) , Researchers (5)
0117  University of Nis, Faculty of Sciences and Mathematics
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  07811  PhD Biljana B. Arsić  Bioinformatics, medical informatics, biomathematics biometrics  Researcher  2011 - 2019  29 
2.  08728  Dragan S. Đorđević  Series, Fourier analysis, functional analysis  Head  2011 - 2019  52 
3.  11569  Aleksandra B. Kapešić  Mathematics  Researcher  2013 - 2019 
4.  12057  Aleksandra M. Petrović  Mathematics  Researcher  2018 - 2019 
0032  University of Belgrade, Technical Faculty
0074  University of Kragujevac, Faculty of Science
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  11135  Slavica M. Stamenković  Mathematics  Researcher  2011 - 2019 
0099  University of Nis, Faculty of Medicine
0104  University of Nis, Faculty of Mechanical Engineering
0131  University of Nis, Faculty of Technology
Abstract
In general, the investigations will include functional and stochastical analysis, concerning also their frequent applications. More precise, we investigate: linear bounded and unbounded operators on Banach and Hilbert spaces, Banach and C*algebras, Hilbert C* modules, Fredholm and spectral properties, complex matrices, matrix equations and inequalities, solving various equations numerically, generalized invertibility in rings, different concepts of summability, classes of transformations on sequence spaces, infinite matrices, stochastic differential equations, stochastic integral equations, existence and stability of SDE and SIE, solving these equations analytically and numerically, define and investigate new distributions, estimation of parameters and forecast time series, time series with outliers, numerical simulations of defined time series, the asymptotic analysis of second-order nonlinear ordinary and functional differential equations in the framework of regularly varying functions, define and investigate new classes of generalizations of orthogonal polynomials, implementation of obtained results in economy, ecology, epidemiology, physics, mechanics, as well as in other relevant sciences and social aspects.
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